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All Journal International Journal of Electrical and Computer Engineering Jurnal Ekonomi dan Bisnis Islam JOIV : International Journal on Informatics Visualization Jurnal Pengabdian Masyarakat AbdiMas Kumawula: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Islamic Economics and Business KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika J-Icon : Jurnal Komputer dan Informatika Jurnal Teknologi Lingkungan Journal Artificial: Informatika dan Sistem Informasi The Indonesian Journal of Computer Science Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi Jurnal Pengabdian Kepada Masyarakat Indonesia
Ratna Yulika Go
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Public Health Social Sciences Other

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Journal : J-Icon : Jurnal Komputer dan Informatika

 1 
PENGUKURAN KUALITAS DATA UNTUK MENINGKATKAN APLIKASI SQA DI PT XYZ Ratna Yulika Go; Rahmi Julianasari; Ahmad Syaifulloh Imron; Yova Ruldeviyani
J-ICON : Jurnal Komputer dan Informatika Vol 11 No 1 (2023): Maret 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v11i1.10138

Abstract

Service Quality Assurance (SQA) is one of a unit in PT XYZ an Indonesian e-commerce company. SQA is responsible for ensuring and maintaining services given to customers by Customer Service agents to meet the company's quality standard. However, the application was built without integration with the Customer Relationship Management (CRM) system, the main customer service application at PT XYZ. The problem is that if companies need SQA data, they must manually input data from SQA to CRM. This can cause vulnerabilities in the data input process. As a result, it impacts the company's business processes, which are inefficient and can be detrimental both materially and immaterially. This research aims to provide recommendations to improve the quality of SQA data so that companies can use the data to be integrated into the CRM system. The Total Data Quality Management (TDQM) method was used for this study with three dimensions: completeness, validity and accuracy. The results of each dimension are 99.64% for completeness, 84.75% for validity, and 100% for accuracy. Business rules on the validity dimension that have the lowest data quality are V1 28.57% and V6 65.11%. The problem factors were identified as an incomplete data dictionary, incomplete and obsolete SOP documents, and no business processes and data control on the application. Recommendations to improve the data quality of the application are PT XYZ can conduct an in-depth study of business roles so that all business processes can be clearly defined and regulations can be set forth in SOP documents. The use of specific reference data for each domain can be used to increase data legitimacy and the level of data suitability.
UTAUT Analysis of E-learning Users: A Case Study at ABC University Go, Ratna Yulika; Prabowo, Ary; Hidayah, Qori Halimatul
J-Icon : Jurnal Komputer dan Informatika Vol 13 No 1 (2025): March 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v13i1.21007

Abstract

The concept of e-learning has been adapted and used in Indonesia since the 1940s, and its development has continued to progress to this day. The COVID-19 pandemic has led to more comprehensive use of elearning. Unfortunately, ABC University was not prepared for the drastic shift to fully online learning, and its e-learning system is not yet integrated with the academic information system (SIAKAD). Other challenges include system bugs and a lack of optimization in discussion forums. As a result, students and lecturers are not able to use e-learning to its full potential. To identify the root causes of these issues, this study aims to determine the influencing factors of e-learning usage at ABC University, with the findings intended to provide recommendations for the university to address the challenges it faces. The study uses a mixed-method approach, combining quantitative and qualitative methods to process and validate the data. The UTAUT (Unified Theory of Acceptance and Use of Technology) approach is applied to identify the factors that affect e-learning usage, with analysis conducted using PLS SEM (Partial Least Squares Structural Equation Modeling). The study results show that among the five factors examined—Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), and Behavioral Intention (BI)—only Social Influence (SI) significantly impacts e-learning usage, while the other four factors do not have a significant effect. The recommendations from this study include the need for system integration between e-learning and SIAKAD to ensure optimal use, as well as conducting maintenance every three months, facilitating meeting accounts, and adding audio-video features in discussion forums.
Co-Authors Abda Abda Ahmad Syaifulloh Imron Ambardi, Ambardi Amiril, Nur Annisaningrum Yuliastuti Asianto, Tinuk Andriyanti Endang Hadiyanti Fadilah, Muhamad Akbar Gafuraningtyas, Dewi Go, Riska Tezara Hadiyanti, Endang Hani Dewi Ariessanti Hermansyah Herwanto, Agus Hidayati, Lutfi Ida Busnetty Ida Busnetty Imam Sutanto Jefry Sunupurwa Asri Kornelis Letelay Kusumawardhana, R. Hendra Lutfi Hidayati Meilisa, Ranny Mola, Sebastianus A. S Muhammmad Hadi Afrian Munthe, Christine Cecylia Mutiarani, Tina Nur Aini NUR AINI Nur Aini Payani, Agnes Sondita Prabowo, Ary Rahmi Julianasari Ramzy Haediprawira Renjaan, Irene Paula Rizka Tesara Go Sarbinny, Neni Septian, Irfan Setiowati, Dewi Sugiatmi, Sugiatmi Sugiatmi, Sugiatmi Tesara Go, Rizka Wawan Kurniawan Wawan Kurniawan Yasin, Muhammad Fathoni Yolanda, Ranti Okta Yova Ruldeviyani Yuliastuti, Annisaningrum